02 Oct
|
Sourcingxpress
|
Bengaluru
02 Oct
Sourcingxpress
Bengaluru
Company: Careernet Technologies
Website: Visit Website
LinkedIn: Visit LinkedIn
Business Type: Enterprise
Company Type: Service
Business Model: B2B
Funding Stage: IPO/Public
Industry: Information Technology and Services
Salary Range: ₹ 20-40 Lacs PA
Job Description
Job Summary
Design and implement a comprehensive strategy for migrating and modernizing existing relational on premise databases, data warehouses (Teradata, Hadoop, Netezza, AWS, Azure) to scalable and cost-effective solution on Google Cloud Platform (GCP).
Key Responsibilities
• Prepare Data & AI Industry Specific GTM by conducting Research & Analyze Industry Outlook/ Emerging Agentic AI Trends and define HCLTech POV/Approach for Foundational Unified Data Platform / Capability & Strategic Tooling Blueprint/ Data to AI Democratization/Common Data Language Across Enterprise/Agentic AI
• Conduct Thought Leadership session & applicable demos to clients by establishing understanding of client landscape/challenges and propose potential Art-Of-Possible for Data Modernization,
Agentic AI along with proposal for MVP/POC for quick wins
• Work alongside with Sales team & prepare GCP Data & AI Solutions Response for RFP/RFQ
• Develop and deliver impactful technical presentations and demos showcasing the capabilities of GCP Data and AI , GenAI, Agentic AI Solutions
• Conduct technical proof-of-concepts (POCs) to validate the feasibility and value proposition of GCP solutions.
• Collaborate with technical specialists and solution architects from COE Team to design and configure tailored cloud solutions.
• Manage and qualify sales opportunities, working closely with the sales team to progress deals through the sales funnel.
• Stay up to date on the latest GCP offerings, trends, and best practices.
Skill Requirements
• Technical / Functional Skills:-
• Design and implement a comprehensive strategy for migrating and modernizing existing relational on premise databases, data warehouses (Teradata, Hadoop, Ne
📌 Data Engineer (Bengaluru)
🏢 Sourcingxpress
📍 Bengaluru